Literature DB >> 21964579

Improving communication of breast cancer recurrence risk.

Noel T Brewer1, Alice R Richman, Jessica T DeFrank, Valerie F Reyna, Lisa A Carey.   

Abstract

Doctors commonly use genomic testing for breast cancer recurrence risk. We sought to assess whether the standard genomic report provided to doctors is a good approach for communicating results to patients. During 2009-2010, we interviewed 133 patients with stages I or II, node-negative, hormone receptor-positive breast cancer and eligible for the Oncotype DX genomic test. In a randomized experiment, patients viewed six vignettes that presented hypothetical recurrence risk test results. Each vignette described a low, intermediate, or high chance of breast cancer recurrence in 10 years. Vignettes used one of five risk formats of increasing complexity that we derived from the standard report that accompanies the commercial assay or a sixth format that used an icon array. Among women who received the genomic recurrence risk test, 63% said their doctors showed them the standard report. The standard report format yielded among the most errors in identification of whether a result was low, intermediate, or high risk (i.e., the gist of the results), whereas a newly developed risk continuum format yielded the fewest errors (17% vs. 5%; OR 0.23; 95% CI 0.10-0.52). For high recurrence risk results presented in the standard format, women made errors 35% of the time. Women rated the standard report as one of the least understandable and least-liked formats, but they rated the risk continuum format as among the most understandable and most liked. Results differed little by health literacy, numeracy, prior receipt of genomic test results during clinical care, and actual genomic test results. The standard genomic recurrence risk report was more difficult for women to understand and interpret than the other formats. A less complex report, potentially including the risk continuum format, would be more effective in communicating test results to patients.

Entities:  

Mesh:

Year:  2011        PMID: 21964579      PMCID: PMC3754448          DOI: 10.1007/s10549-011-1791-9

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  34 in total

1.  Physician decision making and cardiac risk: effects of knowledge, risk perception, risk tolerance, and fuzzy processing.

Authors:  Valerie F Reyna; Farrell J Lloyd
Journal:  J Exp Psychol Appl       Date:  2006-09

2.  Less is more in presenting quality information to consumers.

Authors:  Ellen Peters; Nathan Dieckmann; Anna Dixon; Judith H Hibbard; C K Mertz
Journal:  Med Care Res Rev       Date:  2007-04       Impact factor: 3.929

3.  Does oncotype DX recurrence score affect the management of patients with early-stage breast cancer?

Authors:  Juhi Asad; Allyson F Jacobson; Alison Estabrook; Sharon Rosenbaum Smith; Susan K Boolbol; Sheldon M Feldman; Michael P Osborne; Kwadwo Boachie-Adjei; Wendy Twardzik; Paul I Tartter
Journal:  Am J Surg       Date:  2008-10       Impact factor: 2.565

4.  The influence of graphic format on breast cancer risk communication.

Authors:  Marilyn M Schapira; Ann B Nattinger; Timothy L McAuliffe
Journal:  J Health Commun       Date:  2006-09

Review 5.  Design features of graphs in health risk communication: a systematic review.

Authors:  Jessica S Ancker; Yalini Senathirajah; Rita Kukafka; Justin B Starren
Journal:  J Am Med Inform Assoc       Date:  2006-08-23       Impact factor: 4.497

6.  Retention and use of breast cancer recurrence risk information from genomic tests: the role of health literacy.

Authors:  Sarah E Lillie; Noel T Brewer; Suzanne C O'Neill; Edward F Morrill; E Claire Dees; Lisa A Carey; Barbara K Rimer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-01-30       Impact factor: 4.254

7.  Association between standard clinical and pathologic characteristics and the 21-gene recurrence score in breast cancer patients: a population-based study.

Authors:  Ido Wolf; Noa Ben-Baruch; Ronnie Shapira-Frommer; Shulamit Rizel; Hadassa Goldberg; Neora Yaal-Hahoshen; Baruch Klein; David B Geffen; Bella Kaufman
Journal:  Cancer       Date:  2008-02-15       Impact factor: 6.860

8.  Women's interest in gene expression analysis for breast cancer recurrence risk.

Authors:  Suzanne C O'Neill; Noel T Brewer; Sarah E Lillie; Edward F Morrill; E Claire Dees; Lisa A Carey; Barbara K Rimer
Journal:  J Clin Oncol       Date:  2007-10-10       Impact factor: 44.544

9.  A test of numeric formats for communicating risk probabilities.

Authors:  Cara L Cuite; Neil D Weinstein; Karen Emmons; Graham Colditz
Journal:  Med Decis Making       Date:  2008-05-13       Impact factor: 2.583

Review 10.  Gene expression profiling in breast cancer.

Authors:  Shannon R Morris; Lisa A Carey
Journal:  Curr Opin Oncol       Date:  2007-11       Impact factor: 3.645

View more
  31 in total

1.  Improving Communication in Breast Cancer Treatment Consultation: Use of a Computer Test of Health Numeracy.

Authors:  Marilyn M Schapira; Kathlyn E Fletcher; Pamela S Ganschow; Elizabeth A Jacobs; Cindy M Walker; Alicia J Smallwood; Denisse Gil; Arshia Faghri; Amanda L Kong; Tina W Yen; Susan McDunn; Elizabeth Marcus; Joan M Neuner
Journal:  J Womens Health (Larchmt)       Date:  2019-06-25       Impact factor: 2.681

Review 2.  Decision making and cancer.

Authors:  Valerie F Reyna; Wendy L Nelson; Paul K Han; Michael P Pignone
Journal:  Am Psychol       Date:  2015 Feb-Mar

3.  Social identity and support for counteracting tobacco company marketing that targets vulnerable populations.

Authors:  Sabeeh A Baig; Jessica K Pepper; Jennifer C Morgan; Noel T Brewer
Journal:  Soc Sci Med       Date:  2017-04-18       Impact factor: 4.634

4.  Tables or bar graphs? Presenting test results in electronic medical records.

Authors:  Noel T Brewer; Melissa B Gilkey; Sarah E Lillie; Bradford W Hesse; Stacey L Sheridan
Journal:  Med Decis Making       Date:  2012-04-03       Impact factor: 2.583

5.  Multilevel Influences on Patient-Oncologist Communication about Genomic Test Results: Oncologist Perspectives.

Authors:  Suzanne C O'Neill; Kathryn L Taylor; Jonathan Clapp; Jinani Jayasekera; Claudine Isaacs; Deena Mary Atieh Graham; Stuart L Goldberg; Jeanne Mandelblatt
Journal:  J Health Commun       Date:  2018-08-21

6.  Understanding Genetic Breast Cancer Risk: Processing Loci of the BRCA Gist Intelligent Tutoring System.

Authors:  Christopher R Wolfe; Valerie F Reyna; Colin L Widmer; Elizabeth M Cedillos-Whynott; Priscila G Brust-Renck; Audrey M Weil; Xiangen Hu
Journal:  Learn Individ Differ       Date:  2016-07-01

7.  Return-to-Player Percentage in Gaming Machines: Impact of Informative Materials on Player Understanding.

Authors:  Kate Beresford; Alexander Blaszczynski
Journal:  J Gambl Stud       Date:  2020-03

8.  Question Prompt List to Support Patient-Provider Communication in the Use of the 21-Gene Recurrence Test: Feasibility, Acceptability, and Outcomes.

Authors:  Jinani Jayasekera; Susan T Vadaparampil; Susan Eggly; Richard L Street; Tanina Foster Moore; Claudine Isaacs; Hyo S Han; Bianca Augusto; Jennifer Garcia; Katherine Lopez; Suzanne C O'Neill
Journal:  JCO Oncol Pract       Date:  2020-05-28

9.  Communicating Numerical Risk: Human Factors That Aid Understanding in Health Care.

Authors:  Priscila G Brust-Renck; Caisa E Royer; Valerie F Reyna
Journal:  Rev Hum Factors Ergon       Date:  2013-10

10.  Conveying genomic recurrence risk estimates to patients with early-stage breast cancer: oncologist perspectives.

Authors:  Elizabeth Spellman; Nadiyah Sulayman; Susan Eggly; Beth N Peshkin; Claudine Isaacs; Marc D Schwartz; Suzanne C O'Neill
Journal:  Psychooncology       Date:  2013-02-28       Impact factor: 3.894

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.